Search results for "Location"

showing 10 items of 1480 documents

Posterior moments and quantiles for the normal location model with Laplace prior

2021

We derive explicit expressions for arbitrary moments and quantiles of the posterior distribution of the location parameter η in the normal location model with Laplace prior, and use the results to approximate the posterior distribution of sums of independent copies of η.

Statistics and ProbabilityLaplace priorsLaplace priorLocation parameterreflected generalized gamma priorSettore SECS-P/05Posterior probability0211 other engineering and technologiesSettore SECS-P/05 - Econometria02 engineering and technology01 natural sciencesCornish-Fisher approximation010104 statistics & probabilityStatistics::Methodologyposterior quantile0101 mathematicsposterior moments and cumulantsMathematicsreflected generalized gamma priors021103 operations researchLaplace transformLocation modelMathematical analysisStatistics::Computationposterior moments and cumulantCornish–Fisher approximationSettore SECS-S/01 - StatisticaNormal location modelposterior quantilesQuantileCommunications in Statistics - Theory and Methods
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Sequential estimation of a location parameter and powers of a scale parameter from delayed observations

2013

The problem of sequentially estimating a location parameter and powers of a scale parameter is considered in the case when the observations become available at random times. Certain classes of sequential estimation procedures are derived under an invariant balanced loss function and with the observation cost determined by a convex function of the stopping time and the number of observations up to that time.

Statistics and ProbabilityMathematical optimizationSequential estimationLocation parameterStopping timeApplied mathematicsFunction (mathematics)Statistics Probability and UncertaintyInvariant (mathematics)Convex functionScale parameterShape parameterMathematicsStatistica Neerlandica
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Designing and pricing guarantee options in defined contribution pension plans

2015

Abstract The shift from defined benefit (DB) to defined contribution (DC) is pervasive among pension funds, due to demographic changes and macroeconomic pressures. In DB all risks are borne by the provider, while in plain vanilla DC all risks are borne by the beneficiary. However, for DC to provide income security some kind of guarantee is required. A minimum guarantee clause can be modeled as a put option written on some underlying reference portfolio and we develop a discrete model that selects the reference portfolio to minimize the cost of a guarantee. While the relation DB–DC is typically viewed as a binary one, the model shows how to price a wide range of guarantees creating a continu…

Statistics and ProbabilityPensions; Minimum guarantee; Defined benefit; Defined contribution; Embedded options; Risk sharing; Portfolio selection; Stochastic programmingRisk sharingEconomics and EconometricsPensionActuarial scienceComputer sciencePensionStochastic programmingAsset allocationMinimum guaranteeEmbedded optionPortfolio selectionEmbedded optionStochastic programmingDefined contributionSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Defined benefitValuation of optionsPortfolioAsset (economics)Statistics Probability and UncertaintyPut optionInsurance: Mathematics and Economics
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Some Remarks on Exponential Families

1987

Abstract The following facts may serve to provide a feeling about how restrictive the assumption of an exponential family is. (a) A one-parameter exponential family in standard form with respect to Lebesgue measure is a location parameter family iff it is normal with fixed variance. (b) It is a scale parameter family iff it is gamma with fixed shape parameter. Both facts are known (see Borges and Pfanzagl 1965; Ferguson 1962; Lindley 1958) but may not have received as much attention as they deserve. Under the assumption of differentiable densities, short and elementary proofs are given.

Statistics and ProbabilityPure mathematicsLocation parameterLebesgue measureGeneral MathematicsLocation-scale familyShape parameterExponential familyCalculusDifferentiable functionStatistics Probability and UncertaintyNatural exponential familyScale parameterMathematicsThe American Statistician
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Sample size in cluster-randomized trials with time to event as the primary endpoint

2011

In cluster-randomized trials, groups of individuals (clusters) are randomized to the treatments or interventions to be compared. In many of those trials, the primary objective is to compare the time for an event to occur between randomized groups, and the shared frailty model well fits clustered time-to-event data. Members of the same cluster tend to be more similar than members of different clusters, causing correlations. As correlations affect the power of a trial to detect intervention effects, the clustered design has to be considered in planning the sample size. In this publication, we derive a sample size formula for clustered time-to-event data with constant marginal baseline hazards…

Statistics and ProbabilityTime FactorsEndpoint DeterminationSubstance-Related DisordersEpidemiologyPsychological interventionBiostatisticsTime-to-Treatmentlaw.inventionCorrelationRandom AllocationRandomized controlled triallawStatisticsClinical endpointEconometricsCluster AnalysisHumansPoisson DistributionBaseline (configuration management)Randomized Controlled Trials as TopicMathematicsEvent (probability theory)Likelihood FunctionsModels StatisticalTerm (time)Sample size determinationSample SizeRegression AnalysisSubstance Abuse Treatment CentersStatistics in Medicine
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On ordinary differential equations with interface conditions

1968

Stochastic partial differential equationOscillation theoryExamples of differential equationsApplied MathematicsCollocation methodMathematical analysisDifferential algebraic equationAnalysisSeparable partial differential equationNumerical partial differential equationsMathematicsIntegrating factorJournal of Differential Equations
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Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow

2020

An adaptive task difficulty assignment method which we reckon as balanced difficulty task finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a trade-off between skills of the learner and difficulty of the tasks such that the learner experiences a state of flow during the learning. Flow is a mental state that psychologists refer to when someone is completely immersed in an activity. Flow state is a multidisciplinary field of research and has been studied not only in psychology, but also neuroscience, education, sport, and games. The idea behind this paper is to try to achieve a flow state in a similar way as Elo’s chess skill rating (Glickman in Am Ches…

Stochastic point locationComputer scienceCognitive NeuroscienceGame ranking systemsAnalogyIntelligent tutoring system02 engineering and technologyField (computer science)Intelligent tutoring systemAdjusting delayed matching-to-sampleTask (project management)03 medical and health sciences0302 clinical medicineHuman–computer interaction0202 electrical engineering electronic engineering information engineeringStochastic point locationsVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550State of flowTrueSkillSpaced retrievalComputerized adaptive testingComputingMilieux_PERSONALCOMPUTINGIntelligent tutoring systemsOnline learning020201 artificial intelligence & image processingComputerized adaptive testingState (computer science)Adaptive task difficulties030217 neurology & neurosurgeryResearch ArticleAdaptive task difficultyCognitive Neurodynamics
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Strategic Asset Building and Competitive Strategies for SMEs which Compete with Industry Giants

2014

This chapter studies companies which are arguably business super-heroes – the small firms which despite the apparent handicap of very limited resources are able to compete against much larger, multinational firms – the micro-giants Davids that take on Goliaths. Through a process of detailed case studies of actual firms, analysis of asset structure, and experiments with a simulation model, the relationships between key assets, critical success factors, and micro-giant competiveness are explored. The model produces six scenarios reflecting different strategies for developing tangible and intangible assets and, critically, the balance between them. A level of aggression is needed in asset buil…

Strategic asset allocationCommerceSettore SECS-P/07 - Economia AziendaleBusinessSMEs Strategic Resources Competitiveness System Dynamics ModellingIndustrial organization
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Jubilación parcial y contrato de relevo: regulación y prospectiva

2022

En el marco de la “sociedad del bienestar” los Estados deben procurar acomodar la transición hacia la jubilación proveyendo a sus ciudadanos de vías efectivas, diversas y adaptadas a sus condiciones e intereses. Así pues, ante una “economía del conocimiento” donde las competencias profesionales de los recursos humanos de un país u organización adquieren un valor estratégico en términos de competitividad, resulta pertinente analizar el régimen jurídico de la jubilación parcial y del contrato de relevo.Respecto de dichas instituciones, en este trabajo se discuten sus distintas finalidades, incidiendo en su viabilidad y utilidad como fórmula adecuada al fin de transmitir bidireccionalmente las…

Strategic asset allocationEconomic viabilityPublic economicsKnowledge economymedia_common.quotation_subjectContext (language use)BusinessDigital skillsWelfareProfessional skillsmedia_common
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Formation of dislocation patterns: Computer simulations

1996

Dislocations patterns have been extensively studied by means of TEM. In parallel, theoretical approaches have been developed by using two methods; reaction diffusion schemes and computer simulation models. This distinction is not rigid since some computer models include the former approach in their evolution equations. Independently from the difficulties each approach presents in formulating the collective behavior of dislocations, the aim of these studies is to exhibit simple dislocation patterns as persistent slip bands and/or cellular organization. In this context, computer simulations brought a methodology which undoubtedly is a complement to the existing approaches for dislocations. Ne…

Stress (mechanics)Dislocation creepPhysicsCollective behaviorMesoscopic physicsClassical mechanicsLüders bandReaction–diffusion systemContext (language use)Statistical physicsDislocationPhysical Review B
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